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Field
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. The ideal candidate will have a strong interest in translational biomedical engineering and a desire to develop their own independent research program in this area. Experience in areas such as in vivo
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at the intersection of systems neuroscience and computational modeling. Our lab is broadly interested in Bayesian inference, perception, multisensory integration, spatial navigation, sensorimotor loops, embodied
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experience working in MATLAB and / or Python and experience working with either EEG or fMRI. Ideal candidates will have a background in Psychology, Psychiatry, Neuroscience, Cognitive Science, or Biomedical
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, beginning July 1, 2024 by the Alliance for Therapies in Neuroscience (ATN), a research partnership between academia and industry to transform the fight against brain diseases and disorders of the central
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to uncover underlying biological principles Selection Criteria Ph.D. in data science, computational biology, systems biology, bioinformatics, neuroscience, or other related fields Strong experience in data
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computing and neurotechnology. Excellent, state-of-the-art research facilities are available for the broad range of neuroscience research that is being conducted at the Donders Institute. The Donders
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outcomes across multiple descendant generations (Di Gesù, Matz et al., Cell Rep 2022). The research program is focused on identifying the mechanisms by which maternal environmental exposures, from diet
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of Education (Ref.: 532431), to commence from September 1, 2025 until August, 31, 2026, with the possibility of renewal. Applicants should possess (i) a Master’s degree in Psychology, Neuroscience, Cognitive
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computation. In compliance with NYC?s Pay Transparency Act, the annual base salary range for this position is $62,500 - $70,000. New York University considers factors such as (but not limited to) the specific
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Computer Science, Applied Mathematics, Physics, Computational Biology, Neuroscience with Computational or Theoretical focus, or a closely related field. Preferred Qualifications: Familiar with Information Theory